Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | DRd - Desenvolvimento Regional em debate |
Texto Completo: | http://www.periodicos.unc.br/index.php/drd/article/view/3998 |
Resumo: | The objective of this paper is a methodological discussion regarding the application of Mixed Linear Models for the analysis of the Municipalities Performance Index (IDM) of Goiás for the years 2012, 2014, 2016 and 2018. Thereby, it was performed a literature review about of Mixed Linear Models, as well it was described the context that permeated the application of the model that concerns the socioeconomic situation of the cities of Goiás in the selected years. In addition to the literature review, data were collected from Instituto Mauro Borges Statistical Database of Goiás. The results indicated that the mixed linear models adequately modeled the effects of covariates on the IDM. It is concluded that in database which the same experimental units are collected more than once, there is a need for statistical modeling that can capture variance between and within groups. Thus, in the analysis of the IDM, the variables budget balance, GDP per capita, telephone and internet infrastructure, distribution of doctors per thousand inhabitants and formal employment had positive impacts on the Municipalities Performance Index of Goiás. On the other hand, enrollment in school units negatively impacted the IDM. Keywords: Mixed Linear Models. Municipalities Performance Index of Goiás. Regional development. Longitudinal Data. |
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Mixed linear models as statistical tool for the analysis of the municipalities performance index of GoiásModelos lineales mixtos como herramienta estadística para el análisis del índice de desempeño de los municipios de GoiásModelos lineares mistos como ferramenta estatística para análise do índice de desempenho dos municípios do estado de Goiás The objective of this paper is a methodological discussion regarding the application of Mixed Linear Models for the analysis of the Municipalities Performance Index (IDM) of Goiás for the years 2012, 2014, 2016 and 2018. Thereby, it was performed a literature review about of Mixed Linear Models, as well it was described the context that permeated the application of the model that concerns the socioeconomic situation of the cities of Goiás in the selected years. In addition to the literature review, data were collected from Instituto Mauro Borges Statistical Database of Goiás. The results indicated that the mixed linear models adequately modeled the effects of covariates on the IDM. It is concluded that in database which the same experimental units are collected more than once, there is a need for statistical modeling that can capture variance between and within groups. Thus, in the analysis of the IDM, the variables budget balance, GDP per capita, telephone and internet infrastructure, distribution of doctors per thousand inhabitants and formal employment had positive impacts on the Municipalities Performance Index of Goiás. On the other hand, enrollment in school units negatively impacted the IDM. Keywords: Mixed Linear Models. Municipalities Performance Index of Goiás. Regional development. Longitudinal Data.El objetivo de este articulo es realizar una discusión metodológica sobre la aplicación de Modelos Lineales Mixtos para el análisis del Índice de Desempeño de los Municipios (IDM) en Goiás para los años 2012, 2014, 2016 y 2018. Para ello, dirigió una revisión de la literatura sobre Modelos Lineales Mixtos, así como el contexto que permeó la aplicación del modelo que concierne a la situación socioeconómica de los municipios de Goiás en los años seleccionados. Juntamente con la revisión de la literatura, se recolectaron datos de la Base de Datos Estadística de Goiás del Instituto Mauro Borges. Los resultados indicaron que los modelos lineales mixtos modelaron adecuadamente los efectos de las covariables en IDM. Se concluye, con base de datos en que se recopilan las mismas unidades experimentales más de una vez, existe la necesidad de un modelo estadístico que pueda capturar variaciones entre y dentro de los grupos. Así, en el análisis del IDM, las variables saldo presupuestario, PIB per cápita, infraestructura de telefonía e internet, distribución de médicos por mil habitantes y empleo formal tuvieron impactos positivos en el Índice de Desempeño de los Municipios de Goiás. Por otro lado, el registro en las unidades escolares afectó negativamente el IDM. Palabras clave: Modelos lineales mixtos. Índice de Desempeño de los Municipios de Goiás. Desarrollo regional. Datos Longitudinales.O objetivo deste trabalho é realizar reflexão sobre a aplicação dos Modelos Lineares Mistos para a análise do Índice de Desempenho dos Municípios (IDM) do Estado de Goiás para os anos de 2012, 2014, 2016 e 2018. Para isso realizamos uma revisão da literatura acerca de Modelos Lineares Mistos, bem como do contexto que permeou a aplicação do modelo que diz respeito a situação socioeconômica dos municípios goianos nos anos selecionados. Além da revisão bibliográfica, foram coletados dados no Banco de Dados Estatísticos de Goiás do Instituto Mauro Borges. Os resultados indicaram que os modelos lineares mistos modelaram adequadamente os efeitos das covariáveis no IDM. Conclui-se que em base de dados nas quais as mesmas unidades experimentais são coletadas mais de uma vez, há necessidade de modelagem estatística que consiga captar as variações entre os agrupamentos e dentro dos agrupamentos. Desta forma, na análise do IDM, as variáveis equilíbrio orçamentário, PIB per capita, infraestrutura de telefone e internet, distribuição de médicos por mil habitantes e emprego formal tiveram impactos positivos no Índice de Desempenho dos Municípios goianos. Por outro lado, número de matrículas em unidades escolares impactou negativamente o IDM. Palavras-chave: Modelos Lineares Mistos. Índice de Desempenho dos Municípios Goianos. Desenvolvimento Regional. Dados Longitudinais.Universidade do Contestado (UNC)2022-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.unc.br/index.php/drd/article/view/399810.24302/drd.v12.3998DRd - Desenvolvimento Regional em debate; v. 12 (2022); 167-1862237-902910.24302/drd.v12reponame:DRd - Desenvolvimento Regional em debateinstname:Universidade do Contestado (UNC)instacron:UNCporhttp://www.periodicos.unc.br/index.php/drd/article/view/3998/1763Copyright (c) 2022 DRd - Desenvolvimento Regional em debatehttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessPietrafesa, Pedro AraújoSilva, Tatiane Ferreira do Nascimento Melo daPietrafesa, José Paulo2022-09-19T23:32:48Zoai:ojs.pkp.sfu.ca:article/3998Revistahttp://www.periodicos.unc.br/index.php/drdONGhttp://www.periodicos.unc.br/index.php/drd/oaidaniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br2237-90292237-9029opendoar:2022-09-19T23:32:48DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC)false |
dc.title.none.fl_str_mv |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás Modelos lineales mixtos como herramienta estadística para el análisis del índice de desempeño de los municipios de Goiás Modelos lineares mistos como ferramenta estatística para análise do índice de desempenho dos municípios do estado de Goiás |
title |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
spellingShingle |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás Pietrafesa, Pedro Araújo |
title_short |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
title_full |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
title_fullStr |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
title_full_unstemmed |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
title_sort |
Mixed linear models as statistical tool for the analysis of the municipalities performance index of Goiás |
author |
Pietrafesa, Pedro Araújo |
author_facet |
Pietrafesa, Pedro Araújo Silva, Tatiane Ferreira do Nascimento Melo da Pietrafesa, José Paulo |
author_role |
author |
author2 |
Silva, Tatiane Ferreira do Nascimento Melo da Pietrafesa, José Paulo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pietrafesa, Pedro Araújo Silva, Tatiane Ferreira do Nascimento Melo da Pietrafesa, José Paulo |
description |
The objective of this paper is a methodological discussion regarding the application of Mixed Linear Models for the analysis of the Municipalities Performance Index (IDM) of Goiás for the years 2012, 2014, 2016 and 2018. Thereby, it was performed a literature review about of Mixed Linear Models, as well it was described the context that permeated the application of the model that concerns the socioeconomic situation of the cities of Goiás in the selected years. In addition to the literature review, data were collected from Instituto Mauro Borges Statistical Database of Goiás. The results indicated that the mixed linear models adequately modeled the effects of covariates on the IDM. It is concluded that in database which the same experimental units are collected more than once, there is a need for statistical modeling that can capture variance between and within groups. Thus, in the analysis of the IDM, the variables budget balance, GDP per capita, telephone and internet infrastructure, distribution of doctors per thousand inhabitants and formal employment had positive impacts on the Municipalities Performance Index of Goiás. On the other hand, enrollment in school units negatively impacted the IDM. Keywords: Mixed Linear Models. Municipalities Performance Index of Goiás. Regional development. Longitudinal Data. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.unc.br/index.php/drd/article/view/3998 10.24302/drd.v12.3998 |
url |
http://www.periodicos.unc.br/index.php/drd/article/view/3998 |
identifier_str_mv |
10.24302/drd.v12.3998 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.unc.br/index.php/drd/article/view/3998/1763 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 DRd - Desenvolvimento Regional em debate https://creativecommons.org/licenses/by-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 DRd - Desenvolvimento Regional em debate https://creativecommons.org/licenses/by-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Contestado (UNC) |
publisher.none.fl_str_mv |
Universidade do Contestado (UNC) |
dc.source.none.fl_str_mv |
DRd - Desenvolvimento Regional em debate; v. 12 (2022); 167-186 2237-9029 10.24302/drd.v12 reponame:DRd - Desenvolvimento Regional em debate instname:Universidade do Contestado (UNC) instacron:UNC |
instname_str |
Universidade do Contestado (UNC) |
instacron_str |
UNC |
institution |
UNC |
reponame_str |
DRd - Desenvolvimento Regional em debate |
collection |
DRd - Desenvolvimento Regional em debate |
repository.name.fl_str_mv |
DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC) |
repository.mail.fl_str_mv |
daniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br |
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